Author

Suryaveer Kapoor

University of OklahomaORCID 0009-0004-7995-6896Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Approach:matrix factorization· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Enos Dk KakwambiiD· 1 shared Marmar R. MoussaiD· 1 shared Tuan Nguyen· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Enos Dk KakwambiORCID

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1 paper

Recent·Most cited

Principal Genes: A PCA-based approach to highly variable genes selection for scRNA-Seq analysis

Enos Dk Kakwambi, Tuan Nguyen, Suryaveer Kapoor, Marmar R. Moussa

This paper introduces a PCA-based method for selecting highly variable genes in scRNA-Seq data, showing it is comparable or better than dispersion-based methods and faster.

bioRxiv · Aug 17, 2026 · PreprintBioinformatics